AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Cluster Analysis

Showing 341 to 350 of 1323 articles

Clear Filters

Network Sentiment Analysis of College Students in Different Epidemic Stages Based on Text Clustering.

Journal of environmental and public health
In order to analyze the evolution trend of public opinion in emergencies and explore its evolution law, this paper constructs a network sentiment analysis model based on text clustering, where the emotion analysis part is based on the pretraining BER...

CLADE 2.0: Evolution-Driven Cluster Learning-Assisted Directed Evolution.

Journal of chemical information and modeling
Directed evolution, a revolutionary biotechnology in protein engineering, optimizes protein fitness by searching an astronomical mutational space via expensive experiments. The cluster learning-assisted directed evolution (CLADE) efficiently explores...

Deep-Learning-Based Adaptive Symbol Decision for Visual MIMO System with Variable Channel Modeling.

Sensors (Basel, Switzerland)
A channel modeling method and deep-learning-based symbol decision method are proposed to improve the performance of a visual MIMO system for communication between a variable-color LED array and camera. Although image processing algorithms using color...

NeSiFC: Neighbors' Similarity-Based Fuzzy Community Detection Using Modified Local Random Walk.

IEEE transactions on cybernetics
This article proposes a neighbors' similarity-based fuzzy community detection (FCD) method, which we call "NeSiFC." In the proposed NeSiFC approach, we compute the similarity between two neighbors by introducing a modified local random walk (mLRW). B...

Progressive Self-Supervised Clustering With Novel Category Discovery.

IEEE transactions on cybernetics
These days, clustering is one of the most classical themes to analyze data structures in machine learning and pattern recognition. Recently, the anchor-based graph has been widely adopted to promote the clustering accuracy of plentiful graph-based cl...

Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering.

IEEE transactions on pattern analysis and machine intelligence
Unsupervised domain adaptation (UDA) is to learn classification models that make predictions for unlabeled data on a target domain, given labeled data on a source domain whose distribution diverges from the target one. Mainstream UDA methods strive t...

Attention-Based Dynamic Subspace Learners for Medical Image Analysis.

IEEE journal of biomedical and health informatics
Learning similarity is a key aspect in medical image analysis, particularly in recommendation systems or in uncovering the interpretation of anatomical data in images. Most existing methods learn such similarities in the embedding space over image se...

Three-Dimensional Reconstruction of National Traditional Sports Cultural Heritage Based on Feature Clustering and Artificial Intelligence.

Computational intelligence and neuroscience
The development of three-dimensional reconstruction technology with cultural heritage in traditional sports allows an accurate portrayal of this aspect of life. Cultural heritage can be documented, recovered, and shown with the tools and techniques. ...

MCluster-VAEs: An end-to-end variational deep learning-based clustering method for subtype discovery using multi-omics data.

Computers in biology and medicine
The discovery of cancer subtypes based on unsupervised clustering helps in providing a precise diagnosis, guide treatment, and improve patients' prognoses. Instead of single-omics data, multi-omics data can improve the clustering performance because ...

Workshop Safety Helmet Wearing Detection Model Based on SCM-YOLO.

Sensors (Basel, Switzerland)
In order to overcome the problems of object detection in complex scenes based on the YOLOv4-tiny algorithm, such as insufficient feature extraction, low accuracy, and low recall rate, an improved YOLOv4-tiny safety helmet-wearing detection algorithm ...